decomposing-tasks
Turns a goal into a verifiable, risk-ordered plan with explicit success criteria before any work starts.
Skill by Adrian Paredez
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/adrianparedez-decomposing-tasks
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/decomposing-tasks
What's inside
- Skill name
decomposing-tasks- Description
- Turns a goal into a verifiable, risk-ordered plan with explicit success criteria before any work starts. Use at the start of any multi-step, ambiguous, or long-horizon task. Hands off to sustained-execution for long runs and verifying-reasoning to validate the plan.
- License
- Apache-2.0
- Compatibility
- Any agent runtime. No special tools required; a scratch file helps for large plans.
- Metadata
- tier: 2 · layer: meta/procedure · author: Adrian Paredez · version: 1.0
- Instructions
- 76 lines in SKILL.md · view on GitHub
Files (6)
- SKILL.md
- README.md · benchmarks/
- plan-quality.md · checklists/
- examples.md
- references.md
- plan.md · templates/
SKILL.md (first lines)
# Decomposing tasks A plan is not a list of steps, it is a set of **success criteria**, an ordering that **reduces risk early**, and a marker of what is **reversible vs one-way**. Plan before you act; a bad plan compounds over a long run. ## Use this when - The task has ≥3 non-trivial steps, is ambiguous, or will run long. - The cost of going down the wrong path is high. - **Skip** for genuinely trivial single-step tasks, planning them wastes tokens. ## The method ``` - [ ] 1 RESTATE the goal in one sentence + define DONE (success criteria, testable) - [ ] 2 UNKNOWNS list what you don't know; resolve blocking unknowns FIRST - [ ] 3 DECOMPOSE break into steps, each with a checkable outcome - [ ] 4 ORDER sequence to surface risk/uncertainty early (de-risk before invest) - [ ] 5 CLASSIFY mark each step reversible (safe to try) or one-way (verify before doing) - [ ] 6 VALIDATE sanity-check the plan (verifying-reasoning) before executing - [ ] 7 HANDOFF short task -> execute now; long task -> sustained-execution ledger ``` ## Principles 1. **Define DONE first.** If you can't state how you'll know the task succeeded, you're not ready to start. Success criteria are testable, not aspirational. 2. **Unknowns before effort.** The biggest risk is a wrong assumption. Front-load the steps that resolve unknowns (a quick spike, a doc check) before steps that build on them. Cheap experiments that kill bad plans early are the highest-value steps. 3. **Each step has an outcome you can check.** "Work on auth" is not a step. "Auth: login endpoint returns a valid JWT for a known user" is. 4. **Order to de-risk, not to feel productive.** Do the scary/uncertain part early while it's cheap to change course, not last when you're invested. 5. **Reversible vs one-way doors.** Reversible steps: just try them. One-way steps (delete data, publish, send, migrate, overwrite): plan, verify, and confirm before doing. 6. **Right altitude.** 3-9 steps for most tasks. If you have 30, group into phases. If you have 1, you didn't need this skill. 7. **Plans are living.** Re-plan when an unknown resolves differently than assumed; don't march a dead plan to completion. ## Output: the plan block ``` GOAL: <one sentence> DONE WHEN: - <testable criterion 1> - <testable criterion 2> UNKNOWNS (resolve blocking ones first): - <unknown> -> resolve by <step #> PLAN: 1. <step>, outcome: <checkable>, [reversible|one-way], de-risks: <unknown?> 2. ... RISKS: <top 1-2 things that could go wrong> -> <mitigation/early check> ``` ## Anti-patterns - Starting to code/act before DONE is defined. - Ordering by "easiest first" instead of "riskiest-cheap-to-test first." - Steps with no checkable outcome (can't tell if they're done). - Treating a one-way door as reversible (irreversible action without verification). - A 20-step flat plan with no phases (un-trackable; group it). ## Runtime adaptation - **Minimum:** none, this is pure method. For large plans, write the plan block to a file so it survives compaction (see `sustained-execution`). - If the runtime has a "plan mode," use this method to *fill* it, not replace it. ## Files - `references.md`, risk-ordering, reversible/one-way doctrine, estimation. - `examples.md`, worked plans, good vs bad. - `templates/plan.md`, the plan block to fill. - `checklists/plan-quality.md`, gate before executing. - `benchmarks/`, rework-rate and plan-validity method.
From AdrianParedez/capability-fabric, Apache-2.0.
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sustained-execution
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Keeps long, multi-session, or compaction-spanning tasks on track using an external task ledger, checkpoints, and resumable state.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 5, 2026 (4 months ago)
- Last release
- Jun 5, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0
- License
- Apache-2.0
- Website
- paredez.dev
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Adrian Paredez
- 0.497score
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Scores and improves an existing Agent Skill against a spec + quality rubric, then proposes or applies concrete refactors (split monoliths, sharpen…
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
authoring-skills
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Generates a new, spec-compliant, portable Agent Skill from a capability description, frontmatter, focused body, and the supporting file set, following…
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
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Routes a task to the smallest set of skills that covers it and sequences them without context bloat, instead of one monolithic instruction.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
context-budgeting
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Deliberately manages the context window to cut token cost and prevent quality decay on long runs.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
guarding-code-quality
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Keeps agent-generated code correct, safe, and consistent with the codebase, match existing conventions, verify behavior with a real run/test, and self-review…
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
operating-autonomously
Adrian Paredez
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Cite this page
decomposing-tasks skill. Agent Mart. https://agentmart.dev/skills/adrianparedez-decomposing-tasks (last updated 2026-10-24)